Machine Learning Engineer
• Senior-Level
• Hybrid
• Data
Mark status as:
✨ The Role in One Sentence
Aignostics is seeking a Senior Machine Learning Engineer to develop and maintain ML pipelines for cancer research and diagnostics.
📋 What You'll Likely Do
- 40%: Design, develop, deploy, and maintain robust ML pipelines for scalability and efficiency. 
- 30%: Collaborate with cross-functional teams to translate business requirements into ML solutions. 
- 30%: Contribute to ML infrastructure development, ensuring high coding standards and best practices. 
🧑💻 Profiles Doing This Job
- High Priority: 4+ years of experience in software development or machine learning. 
- High Priority: Proficiency in Python and experience with cloud platforms (GCP, AWS, or Azure). 
- High Priority: Experience with MLOps/DevOps best practices and distributed systems. 
📈 How This Role Will Look on Your CV
- Developed and maintained scalable ML pipelines in a medical research environment. 








